Modelling & simulation
Posted: 21 Apr 2017 | 11:55
Last Thursday marked the opening of the FEAT project (Future Emerging Art and Technology) exhibition in Dundee’s LifeSpace art research gallery. The FEAT project is a pilot that focuses on the synergy between art and science, and how art can bring benefits to the scientific process. EPCC is involved through the INTERTWinE project.
For the past 12 months the artists Špela and Miha have been working with us on a piece related to supercomputing. They have spent time at a number of European supercomputing centres and additional FEAT workshops, such as the one in Vienna last summer that I attended and discussed in a previous blog article.
Posted: 12 Apr 2017 | 16:14
The Next Generation Sound Synthesis project (NESS) has concluded its five-year journey. With true inter-disciplinary focus, genuine user-engagement and over 75 publications overall, the project has been a great success for the University of Edinburgh, and for EPCC in particular.
Posted: 11 Apr 2017 | 17:59
Shall I compare thee...
Performance comparisons are always tricky to get exactly right. They are needed to ensure that we can demonstrate the performance improvements that optimisations, new hardware, new algorithms, etc... have had on an application or benchmark, but there is a lot of latitude in what can be compared, which makes it easy to get a performance comparison wrong and not properly demonstrate whatever it is you're trying to show.
Posted: 10 Apr 2017 | 16:06
Guest blogger Kara Moraw is an undergraduate Informatics student in Bonn, Germany. Here she writes about her 4-week internship with EPCC, spent working with EPCC's Nick Brown on the ARCHER outreach project.
Posted: 2 Feb 2017 | 11:37
Fluidity for tidal modelling
Figure 1: Mesh for the Sound of Islay tidal simulation. Courtesy Dr Creech.
We were recently involved in a project to optimise the CFD modelling package Fluidity for tidal modelling. This ARCHER eCSE project was primarily carried out by Dr Angus Creech from the Institute of Energy Systems in Edinburgh.
Posted: 29 Nov 2016 | 10:07
TensorFlow is an incredibly powerful new framework for deep learning. The “MNIST For ML Beginners” and “Deep MNIST for Experts” TensorFlow tutorials give an excellent introduction to the framework. This article acts as a follow-on tutorial which addresses the following issues:
- The above tutorials use the MNIST dataset of hand written numbers, which pre-exists in TensorFlow TFRecord format and is loaded automatically. This can be a bit mysterious if you have no experience of data format manipulation in TensorFlow.
- Since the MNIST dataset is fixed, there is little scope for experimentation through adjusting the images and network to get a feel for how to deal with particular aspects of real data.
Posted: 8 Oct 2016 | 11:46
Posted: 28 Sep 2016 | 15:06
September seems to have passed by in a bit of a blur, and it's already a whole month since the CP2K Summer School, which we ran at King's College London (23-26th August), so I thought it would be a good time to give an update on the recent activities of the CP2K-UK project.
Posted: 2 Sep 2016 | 11:08
These students from around Europe have spent the last 7 weeks with us at EPCC immersed in HPC, and each working on a specific project in the field. This is a great because not only do they gain experience and interest in HPC but we also get a useful, tangible, outcome from these projects.
Posted: 29 Aug 2016 | 10:35
With my Software Sustainability Institute hat on, I recently participated in a back-to-back Data Carpentry and Software Carpentry course sponsored by the University's Research Data Service here at the University of Edinburgh. The courses were held in the main University library in a gorgeous room with a glass wall, providing a rather distracting view of the Meadows parkland.